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煤岩电磁辐射混沌特性分析
发表时间：2011-03-31 浏览量：1565 下载量：697
| 全部作者： | 郝延坤，许福乐，谢绍东，杨博 |
| 作者单位： | 煤炭资源与安全开采国家重点实验室，中国矿业大学安全工程学院 |
| 摘 要： | 电磁辐射（electro magnetic radiation, EMR）指标综合反映了煤岩动力系统演变情况。为讨论电磁辐射时间序列是否具有混沌特征，实现电磁辐射的预报，提前了解煤岩体未来的动力变化情况，利用在线式电磁辐射监测仪KBD7对掘进煤巷进行跟踪监测，用小数据量方法计算实测电磁辐射时间序列的最大Lyapunov指数，结果表明其具有混沌特征，电磁辐射短期内可以预测，适当选择样本容量和排除干扰可以提高预测精度。 |
| 关 键 词： | 矿山安全；煤岩动力灾害；电磁辐射；Lyapunov指数；混沌；预测 |
| Title： | Analysis on chaotic characteristic of coal and rock electromagnetic radiation |
| Author： | HAO Yankun, XU Fule, XIE Shaodong, YANG Bo |
| Organization： | State Key Laboratory of Coal Resources and Safe Mining, Faculty of Safety Engineering, China University of Mining and Technology |
| Abstract： | The evolution of the coal and rock dynamic system can be reflected by the electromagnetic radiation (EMR) indexes. The chaotic characteristics of EMR time series can be judged by its largest Lyapunov exponent, if it has chaotic characteristics, the predictable time can be determined by the largest Lyapunov exponent of the EMR time series, and the predictive value in the predictable time can be obtained. Therefore, the EMR evolution of the coal and rock will be understood in advance. A roadway was monitored by on-line electromagnetic radiation monitor (KBD7) during the excavation. The largest Lyapunov exponent of monitored EMR time series was calculated based on method of small data sets, the results showed that the EMR time series have chaotic characteristics, EMR can be predicted in short term, the precision can be improved by eliminating interference and choosing the appropriate sample size. |
| Key words： | mine safety; coal and rock dynamic disaster; electromagnetic radiation; Lyapunov exponent; chaos; prediction |
| 发表期数： | 2011年3月第6期 |
| 引用格式： | 郝延坤，许福乐，谢绍东，等. 煤岩电磁辐射混沌特性分析[J]. 中国科技论文在线精品论文，2011，4（6）：538-542. |
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